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OLSengine: Transparent and Assisted Linear Modeling Engine

A transparent, modular, and base-R implemented statistical engine for linear regression (OLS), analysis of variance (ANOVA), and logistic regression (Logit). Designed under the principle of "assisted simplicity", it features an integrated methodological "customs" (Aduana) that automatically audits mathematical assumptions (e.g., multicollinearity, heteroskedasticity, normality, and perfect separation) and outputs publication-ready, APA-formatted tables. It deliberately avoids hidden heuristics and external dependencies, ensuring computational transparency and reproducibility for applied research.

Version: 1.0.0
Suggests: knitr, rmarkdown
Published: 2026-05-14
DOI: 10.32614/CRAN.package.OLSengine
Author: Manuel Soto-Pérez [aut, cre]
Maintainer: Manuel Soto-Pérez <msoto at up.edu.mx>
BugReports: https://github.com/msoto-perez/OLSEngine/issues
License: MIT + file LICENSE
URL: https://github.com/msoto-perez/OLSEngine
NeedsCompilation: no
Materials: README
CRAN checks: OLSengine results

Documentation:

Reference manual: OLSengine.html , OLSengine.pdf
Vignettes: OLSengine Tutorial (source, R code)

Downloads:

Package source: OLSengine_1.0.0.tar.gz
Windows binaries: r-devel: OLSengine_1.0.0.zip, r-release: OLSengine_1.0.0.zip, r-oldrel: OLSengine_1.0.0.zip
macOS binaries: r-release (arm64): OLSengine_1.0.0.tgz, r-oldrel (arm64): OLSengine_1.0.0.tgz, r-release (x86_64): OLSengine_1.0.0.tgz, r-oldrel (x86_64): OLSengine_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=OLSengine to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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